Senior AI Platform Architect

Teradata; Trenton (NJ); On-site; USD 200,000 - 299,000; Full time

Job summary

Teradata is seeking a Senior Staff AI Engineer to design, evolve, and scale Teradata's enterprise AI platforms. You will own architecture level decisions and guide initiatives spanning agentic AI, RAG, vector stores, and AI orchestration frameworks.

Collaborating with product, architecture, research, and cloud teams, you will translate business needs into scalable AI solutions, ensuring reliability, governance, and cost control while mentoring senior engineers and raising engineering standards

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 12+ years of experience building backend services, distributed systems, or data/AI platforms.
• Strong proficiency in Java, Go, or Python, with experience building largescale services.
• Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.
• Proven experience designing and operating production systems with SQL and NoSQL data stores.

Responsibilities

• Lead the design and evolution of largescale, distributed AI systems powering Teradata's AI platform and products.
• Own end-to-end architecture for agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
• Drive technical strategy and architectural consistency across multiple engineering teams.
• Mentor Senior and Staff engineers, guiding architecture reviews and technical decisions.
• Lead by example through hands-on contributions to complex problems.

Skills

Backend services

Distributed systems

Java/Go/Python

SQL/NoSQL

Cloud native

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Docker

CI/CD

Cloud platforms

Job description

Teradata is seeking a Senior Staff AI Engineer to design, evolve, and scale Teradata's enterprise AI platforms. You will own architecture level decisions and guide initiatives spanning agentic AI, RAG, vector stores, and AI orchestration frameworks.

Collaborating with product, architecture, research, and cloud teams, you will translate business needs into scalable AI solutions, ensuring reliability, governance, and cost control while mentoring senior engineers and raising engineering standards